| 书目名称 | Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic |
| 编辑 | Claudia I. Gonzalez,Patricia Melin,Oscar Castillo |
| 视频video | |
| 概述 | Includes a comparative study of type-1, interval type-2 and generalized type-2 fuzzy systems as tools to enhance edge detection in digital images when used in conjunction with the morphological gradie |
| 丛书名称 | SpringerBriefs in Applied Sciences and Technology |
| 图书封面 |  |
| 描述 | In this book four new methods are proposed. In the first method the generalized type-2 fuzzy logic is combined with the morphological gra-dient technique. The second method combines the general type-2 fuzzy systems (GT2 FSs) and the Sobel operator; in the third approach the me-thodology based on Sobel operator and GT2 FSs is improved to be applied on color images. In the fourth approach, we proposed a novel edge detec-tion method where, a digital image is converted a generalized type-2 fuzzy image. In this book it is also included a comparative study of type-1, inter-val type-2 and generalized type-2 fuzzy systems as tools to enhance edge detection in digital images when used in conjunction with the morphologi-cal gradient and the Sobel operator. The proposed generalized type-2 fuzzy edge detection methods were tested with benchmark images and synthetic images, in a grayscale and color format..Another contribution in this book is that the generalized type-2 fuzzy edge detector method is applied in the preprocessing phase of a face rec-ognition system; where the recognition system is based on a monolithic neural network. The aim of this part of the book is to show the advantage of u |
| 出版日期 | Book 2017 |
| 关键词 | Computational Intelligence; Pattern Recognition; Edge Detection Methods; Face Recognition; Digital Image |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-53994-2 |
| isbn_softcover | 978-3-319-53993-5 |
| isbn_ebook | 978-3-319-53994-2Series ISSN 2191-530X Series E-ISSN 2191-5318 |
| issn_series | 2191-530X |
| copyright | The Author(s) 2017 |
发表于 2025-3-21 16:34:58
